Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	145460
Missing cells	343248
Missing cells (%)	10.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.5 MiB
Average record size in memory	184.0 B

Variable types

Categorical	5
Numeric	16
Boolean	2

Alerts

`Date` has a high cardinality: 3436 distinct values	High cardinality
`MinTemp` is highly overall correlated with `Location` and 5 other fields	High correlation
`MaxTemp` is highly overall correlated with `Location` and 5 other fields	High correlation
`Evaporation` is highly overall correlated with `MaxTemp`	High correlation
`Sunshine` is highly overall correlated with `Humidity9am` and 4 other fields	High correlation
`WindGustSpeed` is highly overall correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly overall correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly overall correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly overall correlated with `Location` and 6 other fields	High correlation
`Humidity3pm` is highly overall correlated with `Location` and 8 other fields	High correlation
`Pressure9am` is highly overall correlated with `MinTemp` and 2 other fields	High correlation
`Pressure3pm` is highly overall correlated with `MinTemp` and 2 other fields	High correlation
`Cloud9am` is highly overall correlated with `Sunshine` and 3 other fields	High correlation
`Cloud3pm` is highly overall correlated with `Sunshine` and 3 other fields	High correlation
`Temp9am` is highly overall correlated with `Location` and 6 other fields	High correlation
`Temp3pm` is highly overall correlated with `Location` and 5 other fields	High correlation
`Location` is highly overall correlated with `MinTemp` and 8 other fields	High correlation
`WindGustDir` is highly overall correlated with `Location` and 2 other fields	High correlation
`WindDir9am` is highly overall correlated with `Location` and 2 other fields	High correlation
`WindDir3pm` is highly overall correlated with `Location` and 2 other fields	High correlation
`RainToday` is highly overall correlated with `Humidity3pm`	High correlation
`RainTomorrow` is highly overall correlated with `Sunshine` and 2 other fields	High correlation
`MinTemp` has 1485 (1.0%) missing values	Missing
`Rainfall` has 3261 (2.2%) missing values	Missing
`Evaporation` has 62790 (43.2%) missing values	Missing
`Sunshine` has 69835 (48.0%) missing values	Missing
`WindGustDir` has 10326 (7.1%) missing values	Missing
`WindGustSpeed` has 10263 (7.1%) missing values	Missing
`WindDir9am` has 10566 (7.3%) missing values	Missing
`WindDir3pm` has 4228 (2.9%) missing values	Missing
`WindSpeed9am` has 1767 (1.2%) missing values	Missing
`WindSpeed3pm` has 3062 (2.1%) missing values	Missing
`Humidity9am` has 2654 (1.8%) missing values	Missing
`Humidity3pm` has 4507 (3.1%) missing values	Missing
`Pressure9am` has 15065 (10.4%) missing values	Missing
`Pressure3pm` has 15028 (10.3%) missing values	Missing
`Cloud9am` has 55888 (38.4%) missing values	Missing
`Cloud3pm` has 59358 (40.8%) missing values	Missing
`Temp9am` has 1767 (1.2%) missing values	Missing
`Temp3pm` has 3609 (2.5%) missing values	Missing
`RainToday` has 3261 (2.2%) missing values	Missing
`RainTomorrow` has 3267 (2.2%) missing values	Missing
`Rainfall` has 91080 (62.6%) zeros	Zeros
`Sunshine` has 2359 (1.6%) zeros	Zeros
`WindSpeed9am` has 8745 (6.0%) zeros	Zeros
`Cloud9am` has 8642 (5.9%) zeros	Zeros
`Cloud3pm` has 4974 (3.4%) zeros	Zeros

Reproduction

Analysis started	2023-05-03 03:11:38.106396
Analysis finished	2023-05-03 03:12:24.557381
Duration	46.45 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

Date
Categorical

Distinct	3436
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

2013-11-12	49
2014-09-01	49
2014-08-23	49
2014-08-24	49
2014-08-25	49
Other values (3431)	145215

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1454600
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	0.1%

Sample

1st row	2008-12-01
2nd row	2008-12-02
3rd row	2008-12-03
4th row	2008-12-04
5th row	2008-12-05

Common Values

Value	Count	Frequency (%)
2013-11-12	49	< 0.1%
2014-09-01	49	< 0.1%
2014-08-23	49	< 0.1%
2014-08-24	49	< 0.1%
2014-08-25	49	< 0.1%
2014-08-26	49	< 0.1%
2014-08-27	49	< 0.1%
2014-08-28	49	< 0.1%
2014-08-29	49	< 0.1%
2014-08-30	49	< 0.1%
Other values (3426)	144970	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2013-11-12	49	< 0.1%
2016-12-13	49	< 0.1%
2017-01-03	49	< 0.1%
2017-01-02	49	< 0.1%
2017-01-01	49	< 0.1%
2016-12-31	49	< 0.1%
2016-12-30	49	< 0.1%
2016-12-29	49	< 0.1%
2016-12-28	49	< 0.1%
2016-12-27	49	< 0.1%
Other values (3426)	144970	99.7%

Most occurring characters

Value	Count	Frequency (%)
0	361057	24.8%
-	290920	20.0%
1	266467	18.3%
2	244481	16.8%
3	51292	3.5%
5	45594	3.1%
6	44926	3.1%
4	43792	3.0%
9	42450	2.9%
7	35016	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1163680	80.0%
Dash Punctuation	290920	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	361057	31.0%
1	266467	22.9%
2	244481	21.0%
3	51292	4.4%
5	45594	3.9%
6	44926	3.9%
4	43792	3.8%
9	42450	3.6%
7	35016	3.0%
8	28605	2.5%

Dash Punctuation

Value	Count	Frequency (%)
-	290920	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1454600	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	361057	24.8%
-	290920	20.0%
1	266467	18.3%
2	244481	16.8%
3	51292	3.5%
5	45594	3.1%
6	44926	3.1%
4	43792	3.0%
9	42450	2.9%
7	35016	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1454600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	361057	24.8%
-	290920	20.0%
1	266467	18.3%
2	244481	16.8%
3	51292	3.5%
5	45594	3.1%
6	44926	3.1%
4	43792	3.0%
9	42450	2.9%
7	35016	2.4%

Location
Categorical

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Canberra	3436
Sydney	3344
Darwin	3193
Melbourne	3193
Brisbane	3193
Other values (44)	129101

Length

Max length	16
Median length	11
Mean length	8.7116252
Min length	4

Characters and Unicode

Total characters	1267193
Distinct characters	40
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Albury
2nd row	Albury
3rd row	Albury
4th row	Albury
5th row	Albury

Common Values

Value	Count	Frequency (%)
Canberra	3436	2.4%
Sydney	3344	2.3%
Darwin	3193	2.2%
Melbourne	3193	2.2%
Brisbane	3193	2.2%
Adelaide	3193	2.2%
Perth	3193	2.2%
Hobart	3193	2.2%
Albany	3040	2.1%
MountGambier	3040	2.1%
Other values (39)	113442	78.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canberra	3436	2.4%
sydney	3344	2.3%
darwin	3193	2.2%
melbourne	3193	2.2%
brisbane	3193	2.2%
adelaide	3193	2.2%
perth	3193	2.2%
hobart	3193	2.2%
launceston	3040	2.1%
wollongong	3040	2.1%
Other values (39)	113442	78.0%

Most occurring characters

Value	Count	Frequency (%)
a	117797	9.3%
r	116473	9.2%
o	109016	8.6%
e	104586	8.3%
n	90638	7.2%
l	79075	6.2%
i	76233	6.0%
t	59332	4.7%
d	36868	2.9%
u	36585	2.9%
Other values (30)	440590	34.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1070469	84.5%
Uppercase Letter	196724	15.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	117797	11.0%
r	116473	10.9%
o	109016	10.2%
e	104586	9.8%
n	90638	8.5%
l	79075	7.4%
i	76233	7.1%
t	59332	5.5%
d	36868	3.4%
u	36585	3.4%
Other values (12)	243866	22.8%

Uppercase Letter

Value	Count	Frequency (%)
A	27358	13.9%
W	24100	12.3%
C	18543	9.4%
M	18300	9.3%
S	15403	7.8%
P	15259	7.8%
N	13639	6.9%
B	12282	6.2%
G	12121	6.2%
H	9206	4.7%
Other values (8)	30513	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1267193	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	117797	9.3%
r	116473	9.2%
o	109016	8.6%
e	104586	8.3%
n	90638	7.2%
l	79075	6.2%
i	76233	6.0%
t	59332	4.7%
d	36868	2.9%
u	36585	2.9%
Other values (30)	440590	34.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1267193	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	117797	9.3%
r	116473	9.2%
o	109016	8.6%
e	104586	8.3%
n	90638	7.2%
l	79075	6.2%
i	76233	6.0%
t	59332	4.7%
d	36868	2.9%
u	36585	2.9%
Other values (30)	440590	34.8%

MinTemp
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	389
Distinct (%)	0.3%
Missing	1485
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.194034

Minimum	-8.5
Maximum	33.9
Zeros	159
Zeros (%)	0.1%
Negative	3464
Negative (%)	2.4%
Memory size	1.1 MiB

Quantile statistics

Minimum	-8.5
5-th percentile	1.8
Q1	7.6
median	12
Q3	16.9
95-th percentile	23
Maximum	33.9
Range	42.4
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.398495
Coefficient of variation (CV)	0.52472338
Kurtosis	-0.48397212
Mean	12.194034
Median Absolute Deviation (MAD)	4.6
Skewness	0.021188284
Sum	1755636.1
Variance	40.940738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	899	0.6%
10.2	898	0.6%
9.6	896	0.6%
10.5	884	0.6%
10.8	872	0.6%
9	872	0.6%
10	871	0.6%
12	866	0.6%
8.9	861	0.6%
10.4	860	0.6%
Other values (379)	135196	92.9%
(Missing)	1485	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-8.5	1	< 0.1%
-8.2	2	< 0.1%
-8	2	< 0.1%
-7.8	1	< 0.1%
-7.6	2	< 0.1%
-7.5	2	< 0.1%
-7.3	1	< 0.1%
-7.2	1	< 0.1%
-7.1	1	< 0.1%
-7	7	< 0.1%

Value	Count	Frequency (%)
33.9	1	< 0.1%
31.9	1	< 0.1%
31.8	1	< 0.1%
31.4	3	< 0.1%
31.2	1	< 0.1%
31	1	< 0.1%
30.7	2	< 0.1%
30.5	1	< 0.1%
30.3	1	< 0.1%
30.2	1	< 0.1%

MaxTemp
Real number (ℝ)

Distinct	505
Distinct (%)	0.4%
Missing	1261
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	23.221348

Minimum	-4.8
Maximum	48.1
Zeros	14
Zeros (%)	< 0.1%
Negative	113
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-4.8
5-th percentile	12.8
Q1	17.9
median	22.6
Q3	28.2
95-th percentile	35.5
Maximum	48.1
Range	52.9
Interquartile range (IQR)	10.3

Descriptive statistics

Standard deviation	7.1190488
Coefficient of variation (CV)	0.30657345
Kurtosis	-0.22462978
Mean	23.221348
Median Absolute Deviation (MAD)	5.1
Skewness	0.22083935
Sum	3348495.2
Variance	50.680856
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	885	0.6%
19	843	0.6%
19.8	840	0.6%
20.4	834	0.6%
19.9	823	0.6%
20.8	817	0.6%
19.5	812	0.6%
18.5	811	0.6%
21	810	0.6%
18.2	804	0.6%
Other values (495)	135920	93.4%
(Missing)	1261	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4.8	1	< 0.1%
-4.1	1	< 0.1%
-3.8	1	< 0.1%
-3.7	1	< 0.1%
-3.2	1	< 0.1%
-3.1	2	< 0.1%
-3	1	< 0.1%
-2.9	1	< 0.1%
-2.7	1	< 0.1%
-2.5	2	< 0.1%

Value	Count	Frequency (%)
48.1	1	< 0.1%
47.3	2	< 0.1%
47	1	< 0.1%
46.9	1	< 0.1%
46.8	3	< 0.1%
46.7	2	< 0.1%
46.6	1	< 0.1%
46.5	1	< 0.1%
46.4	4	< 0.1%
46.3	2	< 0.1%

Rainfall
Real number (ℝ)

MISSING
ZEROS

Distinct	681
Distinct (%)	0.5%
Missing	3261
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.3609181

Minimum	0
Maximum	371
Zeros	91080
Zeros (%)	62.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.8
95-th percentile	13
Maximum	371
Range	371
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	8.4780597
Coefficient of variation (CV)	3.5910011
Kurtosis	178.15208
Mean	2.3609181
Median Absolute Deviation (MAD)	0
Skewness	9.8362253
Sum	335720.2
Variance	71.877497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	91080	62.6%
0.2	8761	6.0%
0.4	3782	2.6%
0.6	2592	1.8%
0.8	2056	1.4%
1	1759	1.2%
1.2	1535	1.1%
1.4	1377	0.9%
1.6	1200	0.8%
1.8	1104	0.8%
Other values (671)	26953	18.5%
(Missing)	3261	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	91080	62.6%
0.1	157	0.1%
0.2	8761	6.0%
0.3	65	< 0.1%
0.4	3782	2.6%
0.5	39	< 0.1%
0.6	2592	1.8%
0.7	13	< 0.1%
0.8	2056	1.4%
0.9	15	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
367.6	1	< 0.1%
278.4	1	< 0.1%
268.6	1	< 0.1%
247.2	1	< 0.1%
240	1	< 0.1%
236.8	1	< 0.1%
225	1	< 0.1%
219.6	1	< 0.1%
216.3	1	< 0.1%

Evaporation
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	358
Distinct (%)	0.4%
Missing	62790
Missing (%)	43.2%
Infinite	0
Infinite (%)	0.0%
Mean	5.4682315

Minimum	0
Maximum	145
Zeros	244
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2.6
median	4.8
Q3	7.4
95-th percentile	12
Maximum	145
Range	145
Interquartile range (IQR)	4.8

Descriptive statistics

Standard deviation	4.1937041
Coefficient of variation (CV)	0.76692146
Kurtosis	45.043266
Mean	5.4682315
Median Absolute Deviation (MAD)	2.4
Skewness	3.761286
Sum	452058.7
Variance	17.587154
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	3339	2.3%
8	2609	1.8%
2.2	2095	1.4%
2	2032	1.4%
2.6	2003	1.4%
2.4	2003	1.4%
1.8	1979	1.4%
3	1973	1.4%
3.4	1967	1.4%
3.2	1956	1.3%
Other values (348)	60714	41.7%
(Missing)	62790	43.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	244	0.2%
0.1	8	< 0.1%
0.2	503	0.3%
0.3	10	< 0.1%
0.4	769	0.5%
0.5	14	< 0.1%
0.6	1097	0.8%
0.7	24	< 0.1%
0.8	1384	1.0%
0.9	28	< 0.1%

Value	Count	Frequency (%)
145	1	< 0.1%
86.2	1	< 0.1%
82.4	1	< 0.1%
81.2	1	< 0.1%
77.3	1	< 0.1%
74.8	1	< 0.1%
72.2	1	< 0.1%
70.4	1	< 0.1%
70	1	< 0.1%
68.8	2	< 0.1%

Sunshine
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	145
Distinct (%)	0.2%
Missing	69835
Missing (%)	48.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.6111775

Minimum	0
Maximum	14.5
Zeros	2359
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	4.8
median	8.4
Q3	10.6
95-th percentile	12.8
Maximum	14.5
Range	14.5
Interquartile range (IQR)	5.8

Descriptive statistics

Standard deviation	3.785483
Coefficient of variation (CV)	0.49735839
Kurtosis	-0.82945934
Mean	7.6111775
Median Absolute Deviation (MAD)	2.6
Skewness	-0.49648004
Sum	575595.3
Variance	14.329881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2359	1.6%
10.7	1101	0.8%
11	1094	0.8%
10.8	1069	0.7%
10.5	1027	0.7%
10.9	1021	0.7%
10.3	1010	0.7%
10.2	993	0.7%
10	984	0.7%
11.1	978	0.7%
Other values (135)	63989	44.0%
(Missing)	69835	48.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2359	1.6%
0.1	542	0.4%
0.2	521	0.4%
0.3	433	0.3%
0.4	326	0.2%
0.5	322	0.2%
0.6	298	0.2%
0.7	344	0.2%
0.8	320	0.2%
0.9	323	0.2%

Value	Count	Frequency (%)
14.5	1	< 0.1%
14.3	4	< 0.1%
14.2	2	< 0.1%
14.1	6	< 0.1%
14	15	< 0.1%
13.9	22	< 0.1%
13.8	60	< 0.1%
13.7	118	0.1%
13.6	181	0.1%
13.5	183	0.1%

WindGustDir
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	10326
Missing (%)	7.1%
Memory size	1.1 MiB

W	9915
SE	9418
N	9313
SSE	9216
E	9181
Other values (11)	88091

Length

Max length	3
Median length	2
Mean length	2.1949176
Min length	1

Characters and Unicode

Total characters	296608
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	WNW
3rd row	WSW
4th row	NE
5th row	W

Common Values

Value	Count	Frequency (%)
W	9915	6.8%
SE	9418	6.5%
N	9313	6.4%
SSE	9216	6.3%
E	9181	6.3%
S	9168	6.3%
WSW	9069	6.2%
SW	8967	6.2%
SSW	8736	6.0%
WNW	8252	5.7%
Other values (6)	43899	30.2%
(Missing)	10326	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
w	9915	7.3%
se	9418	7.0%
n	9313	6.9%
sse	9216	6.8%
e	9181	6.8%
s	9168	6.8%
wsw	9069	6.7%
sw	8967	6.6%
ssw	8736	6.5%
wnw	8252	6.1%
Other values (6)	43899	32.5%

Most occurring characters

Value	Count	Frequency (%)
S	79898	26.9%
W	77002	26.0%
E	72448	24.4%
N	67260	22.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	296608	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	79898	26.9%
W	77002	26.0%
E	72448	24.4%
N	67260	22.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	296608	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	79898	26.9%
W	77002	26.0%
E	72448	24.4%
N	67260	22.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	296608	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	79898	26.9%
W	77002	26.0%
E	72448	24.4%
N	67260	22.7%

WindGustSpeed
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	67
Distinct (%)	< 0.1%
Missing	10263
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	40.03523

Minimum	6
Maximum	135
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	6
5-th percentile	20
Q1	31
median	39
Q3	48
95-th percentile	65
Maximum	135
Range	129
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.607062
Coefficient of variation (CV)	0.33987721
Kurtosis	1.4186423
Mean	40.03523
Median Absolute Deviation (MAD)	9
Skewness	0.87487888
Sum	5412643
Variance	185.15214
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	9215	6.3%
39	8794	6.0%
31	8428	5.8%
37	8047	5.5%
33	7933	5.5%
41	7369	5.1%
30	7038	4.8%
43	6609	4.5%
28	6478	4.5%
44	5432	3.7%
Other values (57)	59854	41.1%
(Missing)	10263	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	< 0.1%
7	19	< 0.1%
9	91	0.1%
11	192	0.1%
13	532	0.4%
15	835	0.6%
17	1387	1.0%
19	1751	1.2%
20	2627	1.8%
22	2810	1.9%

Value	Count	Frequency (%)
135	3	< 0.1%
130	1	< 0.1%
126	2	< 0.1%
124	2	< 0.1%
122	3	< 0.1%
120	4	< 0.1%
117	4	< 0.1%
115	5	< 0.1%
113	8	< 0.1%
111	3	< 0.1%

WindDir9am
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	10566
Missing (%)	7.3%
Memory size	1.1 MiB

N	11758
SE	9287
E	9176
SSE	9112
NW	8749
Other values (11)	86812

Length

Max length	3
Median length	2
Mean length	2.1828102
Min length	1

Characters and Unicode

Total characters	294448
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	NNW
3rd row	W
4th row	SE
5th row	ENE

Common Values

Value	Count	Frequency (%)
N	11758	8.1%
SE	9287	6.4%
E	9176	6.3%
SSE	9112	6.3%
NW	8749	6.0%
S	8659	6.0%
W	8459	5.8%
SW	8423	5.8%
NNE	8129	5.6%
NNW	7980	5.5%
Other values (6)	45162	31.0%
(Missing)	10566	7.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	11758	8.7%
se	9287	6.9%
e	9176	6.8%
sse	9112	6.8%
nw	8749	6.5%
s	8659	6.4%
w	8459	6.3%
sw	8423	6.2%
nne	8129	6.0%
nnw	7980	5.9%
Other values (6)	45162	33.5%

Most occurring characters

Value	Count	Frequency (%)
N	75646	25.7%
S	74421	25.3%
E	74307	25.2%
W	70074	23.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	294448	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	75646	25.7%
S	74421	25.3%
E	74307	25.2%
W	70074	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	294448	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	75646	25.7%
S	74421	25.3%
E	74307	25.2%
W	70074	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	294448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	75646	25.7%
S	74421	25.3%
E	74307	25.2%
W	70074	23.8%

WindDir3pm
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	4228
Missing (%)	2.9%
Memory size	1.1 MiB

SE	10838
W	10110
S	9926
WSW	9518
SSE	9399
Other values (11)	91441

Length

Max length	3
Median length	2
Mean length	2.2079628
Min length	1

Characters and Unicode

Total characters	311835
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WNW
2nd row	WSW
3rd row	WSW
4th row	E
5th row	NW

Common Values

Value	Count	Frequency (%)
SE	10838	7.5%
W	10110	7.0%
S	9926	6.8%
WSW	9518	6.5%
SSE	9399	6.5%
SW	9354	6.4%
N	8890	6.1%
WNW	8874	6.1%
NW	8610	5.9%
ESE	8505	5.8%
Other values (6)	47208	32.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
se	10838	7.7%
w	10110	7.2%
s	9926	7.0%
wsw	9518	6.7%
sse	9399	6.7%
sw	9354	6.6%
n	8890	6.3%
wnw	8874	6.3%
nw	8610	6.1%
ese	8505	6.0%
Other values (6)	47208	33.4%

Most occurring characters

Value	Count	Frequency (%)
S	83251	26.7%
W	80884	25.9%
E	76286	24.5%
N	71414	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	311835	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	83251	26.7%
W	80884	25.9%
E	76286	24.5%
N	71414	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	311835	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	83251	26.7%
W	80884	25.9%
E	76286	24.5%
N	71414	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	311835	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	83251	26.7%
W	80884	25.9%
E	76286	24.5%
N	71414	22.9%

WindSpeed9am
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	43
Distinct (%)	< 0.1%
Missing	1767
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	14.043426

Minimum	0
Maximum	130
Zeros	8745
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	13
Q3	19
95-th percentile	30
Maximum	130
Range	130
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.9153753
Coefficient of variation (CV)	0.63484333
Kurtosis	1.2269909
Mean	14.043426
Median Absolute Deviation (MAD)	6
Skewness	0.77762951
Sum	2017942
Variance	79.483917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
9	13649	9.4%
13	13132	9.0%
11	11728	8.1%
17	10788	7.4%
7	10783	7.4%
15	10625	7.3%
6	9118	6.3%
19	8763	6.0%
0	8745	6.0%
20	8063	5.5%
Other values (33)	38299	26.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8745	6.0%
2	4609	3.2%
4	6360	4.4%
6	9118	6.3%
7	10783	7.4%
9	13649	9.4%
11	11728	8.1%
13	13132	9.0%
15	10625	7.3%
17	10788	7.4%

Value	Count	Frequency (%)
130	1	< 0.1%
87	2	< 0.1%
83	1	< 0.1%
74	4	< 0.1%
72	1	< 0.1%
69	2	< 0.1%
67	4	< 0.1%
65	8	< 0.1%
63	9	< 0.1%
61	11	< 0.1%

WindSpeed3pm
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	< 0.1%
Missing	3062
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	18.662657

Minimum	0
Maximum	87
Zeros	1112
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	13
median	19
Q3	24
95-th percentile	35
Maximum	87
Range	87
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.8098
Coefficient of variation (CV)	0.47205498
Kurtosis	0.76385824
Mean	18.662657
Median Absolute Deviation (MAD)	6
Skewness	0.62821542
Sum	2657525
Variance	77.612576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
13	12580	8.6%
17	12539	8.6%
20	11713	8.1%
15	11483	7.9%
19	11263	7.7%
11	10015	6.9%
9	9753	6.7%
24	9052	6.2%
22	8598	5.9%
28	6553	4.5%
Other values (34)	38849	26.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1112	0.8%
2	1034	0.7%
4	2249	1.5%
6	3805	2.6%
7	5903	4.1%
9	9753	6.7%
11	10015	6.9%
13	12580	8.6%
15	11483	7.9%
17	12539	8.6%

Value	Count	Frequency (%)
87	1	< 0.1%
83	2	< 0.1%
78	1	< 0.1%
76	2	< 0.1%
74	1	< 0.1%
72	2	< 0.1%
69	3	< 0.1%
67	1	< 0.1%
65	18	< 0.1%
63	13	< 0.1%

Humidity9am
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	2654
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	68.880831

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	57
median	70
Q3	83
95-th percentile	98
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.029164
Coefficient of variation (CV)	0.27626212
Kurtosis	-0.037555042
Mean	68.880831
Median Absolute Deviation (MAD)	13
Skewness	-0.48396899
Sum	9836596
Variance	362.1091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	3391	2.3%
70	3026	2.1%
69	3023	2.1%
65	3014	2.1%
68	3011	2.1%
71	2976	2.0%
66	2973	2.0%
67	2950	2.0%
74	2917	2.0%
72	2914	2.0%
Other values (91)	112611	77.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	10	< 0.1%
4	20	< 0.1%
5	27	< 0.1%
6	37	< 0.1%
7	43	< 0.1%
8	56	< 0.1%
9	71	< 0.1%

Value	Count	Frequency (%)
100	2863	2.0%
99	3391	2.3%
98	2099	1.4%
97	1789	1.2%
96	1609	1.1%
95	1636	1.1%
94	1764	1.2%
93	1862	1.3%
92	1755	1.2%
91	1869	1.3%

Humidity3pm
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	101
Distinct (%)	0.1%
Missing	4507
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%
Mean	51.539116

Minimum	0
Maximum	100
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	52
Q3	66
95-th percentile	88
Maximum	100
Range	100
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	20.795902
Coefficient of variation (CV)	0.40349745
Kurtosis	-0.51136325
Mean	51.539116
Median Absolute Deviation (MAD)	14
Skewness	0.033614368
Sum	7264593
Variance	432.46953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52	2751	1.9%
55	2738	1.9%
57	2728	1.9%
53	2697	1.9%
59	2690	1.8%
58	2643	1.8%
54	2642	1.8%
50	2624	1.8%
51	2621	1.8%
60	2615	1.8%
Other values (91)	114204	78.5%
(Missing)	4507	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	26	< 0.1%
2	35	< 0.1%
3	63	< 0.1%
4	113	0.1%
5	157	0.1%
6	242	0.2%
7	303	0.2%
8	422	0.3%
9	481	0.3%

Value	Count	Frequency (%)
100	400	0.3%
99	434	0.3%
98	603	0.4%
97	403	0.3%
96	462	0.3%
95	465	0.3%
94	559	0.4%
93	607	0.4%
92	648	0.4%
91	617	0.4%

Pressure9am
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	546
Distinct (%)	0.4%
Missing	15065
Missing (%)	10.4%
Infinite	0
Infinite (%)	0.0%
Mean	1017.6499

Minimum	980.5
Maximum	1041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	980.5
5-th percentile	1006.2
Q1	1012.9
median	1017.6
Q3	1022.4
95-th percentile	1029.5
Maximum	1041
Range	60.5
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	7.1065303
Coefficient of variation (CV)	0.0069832759
Kurtosis	0.23156262
Mean	1017.6499
Median Absolute Deviation (MAD)	4.7
Skewness	-0.095523637
Sum	1.3269646 × 10⁸
Variance	50.502773
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1016.4	816	0.6%
1017.9	789	0.5%
1016.3	775	0.5%
1018.7	775	0.5%
1018	769	0.5%
1017.3	769	0.5%
1015.9	768	0.5%
1017.8	766	0.5%
1017.2	759	0.5%
1017.7	759	0.5%
Other values (536)	122650	84.3%
(Missing)	15065	10.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
980.5	1	< 0.1%
982	1	< 0.1%
982.2	1	< 0.1%
982.3	1	< 0.1%
982.9	2	< 0.1%
983.7	1	< 0.1%
983.9	1	< 0.1%
984.4	1	< 0.1%
984.6	2	< 0.1%
985	1	< 0.1%

Value	Count	Frequency (%)
1041	1	< 0.1%
1040.9	1	< 0.1%
1040.6	2	< 0.1%
1040.5	1	< 0.1%
1040.4	3	< 0.1%
1040.3	3	< 0.1%
1040.2	2	< 0.1%
1040.1	3	< 0.1%
1040	1	< 0.1%
1039.9	3	< 0.1%

Pressure3pm
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	549
Distinct (%)	0.4%
Missing	15028
Missing (%)	10.3%
Infinite	0
Infinite (%)	0.0%
Mean	1015.2559

Minimum	977.1
Maximum	1039.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	977.1
5-th percentile	1004
Q1	1010.4
median	1015.2
Q3	1020
95-th percentile	1026.9
Maximum	1039.6
Range	62.5
Interquartile range (IQR)	9.6

Descriptive statistics

Standard deviation	7.0374138
Coefficient of variation (CV)	0.0069316651
Kurtosis	0.12917156
Mean	1015.2559
Median Absolute Deviation (MAD)	4.8
Skewness	-0.045621405
Sum	1.3242186 × 10⁸
Variance	49.525193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1015.3	786	0.5%
1015.5	783	0.5%
1015.6	776	0.5%
1015.7	773	0.5%
1013.5	767	0.5%
1015.1	766	0.5%
1015.8	765	0.5%
1015.4	756	0.5%
1016	747	0.5%
1014.8	745	0.5%
Other values (539)	122768	84.4%
(Missing)	15028	10.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
977.1	1	< 0.1%
978.2	1	< 0.1%
979	1	< 0.1%
980.2	2	< 0.1%
981.2	1	< 0.1%
981.4	1	< 0.1%
981.9	1	< 0.1%
982.2	1	< 0.1%
982.6	1	< 0.1%
982.9	1	< 0.1%

Value	Count	Frequency (%)
1039.6	1	< 0.1%
1038.9	1	< 0.1%
1038.5	1	< 0.1%
1038.4	1	< 0.1%
1038.2	1	< 0.1%
1038	1	< 0.1%
1037.9	2	< 0.1%
1037.8	2	< 0.1%
1037.7	3	< 0.1%
1037.6	1	< 0.1%

Cloud9am
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	55888
Missing (%)	38.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.4474613

Minimum	0
Maximum	9
Zeros	8642
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.8871589
Coefficient of variation (CV)	0.6491701
Kurtosis	-1.5388305
Mean	4.4474613
Median Absolute Deviation (MAD)	3
Skewness	-0.22908183
Sum	398368
Variance	8.3356862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	19972	13.7%
1	15687	10.8%
8	14697	10.1%
0	8642	5.9%
6	8171	5.6%
2	6500	4.5%
3	5914	4.1%
5	5567	3.8%
4	4420	3.0%
9	2	< 0.1%
(Missing)	55888	38.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8642	5.9%
1	15687	10.8%
2	6500	4.5%
3	5914	4.1%
4	4420	3.0%
5	5567	3.8%
6	8171	5.6%
7	19972	13.7%
8	14697	10.1%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	14697	10.1%
7	19972	13.7%
6	8171	5.6%
5	5567	3.8%
4	4420	3.0%
3	5914	4.1%
2	6500	4.5%
1	15687	10.8%
0	8642	5.9%

Cloud3pm
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	59358
Missing (%)	40.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.5099301

Minimum	0
Maximum	9
Zeros	4974
Zeros (%)	3.4%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.7203573
Coefficient of variation (CV)	0.60319279
Kurtosis	-1.4565245
Mean	4.5099301
Median Absolute Deviation (MAD)	2
Skewness	-0.22638435
Sum	388314
Variance	7.4003439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	18229	12.5%
1	14976	10.3%
8	12660	8.7%
6	8978	6.2%
2	7226	5.0%
3	6921	4.8%
5	6815	4.7%
4	5322	3.7%
0	4974	3.4%
9	1	< 0.1%
(Missing)	59358	40.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4974	3.4%
1	14976	10.3%
2	7226	5.0%
3	6921	4.8%
4	5322	3.7%
5	6815	4.7%
6	8978	6.2%
7	18229	12.5%
8	12660	8.7%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	12660	8.7%
7	18229	12.5%
6	8978	6.2%
5	6815	4.7%
4	5322	3.7%
3	6921	4.8%
2	7226	5.0%
1	14976	10.3%
0	4974	3.4%

Temp9am
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	441
Distinct (%)	0.3%
Missing	1767
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	16.990631

Minimum	-7.2
Maximum	40.2
Zeros	36
Zeros (%)	< 0.1%
Negative	443
Negative (%)	0.3%
Memory size	1.1 MiB

Quantile statistics

Minimum	-7.2
5-th percentile	6.9
Q1	12.3
median	16.7
Q3	21.6
95-th percentile	28.2
Maximum	40.2
Range	47.4
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	6.4887531
Coefficient of variation (CV)	0.38190182
Kurtosis	-0.34052334
Mean	16.990631
Median Absolute Deviation (MAD)	4.6
Skewness	0.088539997
Sum	2441434.8
Variance	42.103917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	912	0.6%
13.8	900	0.6%
14.8	894	0.6%
16	882	0.6%
14	876	0.6%
15	867	0.6%
16.6	867	0.6%
16.5	856	0.6%
13	848	0.6%
15.1	846	0.6%
Other values (431)	134945	92.8%
(Missing)	1767	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-7.2	1	< 0.1%
-7	1	< 0.1%
-6.2	1	< 0.1%
-5.9	1	< 0.1%
-5.6	2	< 0.1%
-5.5	2	< 0.1%
-5.3	2	< 0.1%
-5.2	5	< 0.1%
-4.9	1	< 0.1%
-4.8	2	< 0.1%

Value	Count	Frequency (%)
40.2	1	< 0.1%
39.4	1	< 0.1%
39.1	1	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
38.6	1	< 0.1%
38.3	1	< 0.1%
38.2	1	< 0.1%
38	1	< 0.1%
37.9	1	< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	502
Distinct (%)	0.4%
Missing	3609
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	21.68339

Minimum	-5.4
Maximum	46.7
Zeros	17
Zeros (%)	< 0.1%
Negative	180
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5.4
5-th percentile	11.6
Q1	16.6
median	21.1
Q3	26.4
95-th percentile	33.7
Maximum	46.7
Range	52.1
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	6.9366505
Coefficient of variation (CV)	0.31990618
Kurtosis	-0.13628147
Mean	21.68339
Median Absolute Deviation (MAD)	4.8
Skewness	0.23796036
Sum	3075810.6
Variance	48.11712
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	882	0.6%
19	869	0.6%
18.5	869	0.6%
18.4	868	0.6%
17.8	859	0.6%
19.4	840	0.6%
18	839	0.6%
19.2	839	0.6%
17	834	0.6%
19.3	833	0.6%
Other values (492)	133319	91.7%
(Missing)	3609	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5.4	1	< 0.1%
-5.1	1	< 0.1%
-4.4	1	< 0.1%
-4.2	1	< 0.1%
-4.1	1	< 0.1%
-4	1	< 0.1%
-3.9	2	< 0.1%
-3.8	1	< 0.1%
-3.7	3	< 0.1%
-3.5	3	< 0.1%

Value	Count	Frequency (%)
46.7	1	< 0.1%
46.2	1	< 0.1%
46.1	3	< 0.1%
45.9	1	< 0.1%
45.8	2	< 0.1%
45.4	1	< 0.1%
45.3	2	< 0.1%
45.2	2	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%

RainToday
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	3261
Missing (%)	2.2%
Memory size	284.2 KiB

False	110319
True	31880
(Missing)	3261

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	110319	75.8%
True	31880	21.9%
(Missing)	3261	2.2%

RainTomorrow
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	3267
Missing (%)	2.2%
Memory size	284.2 KiB

False	110316
True	31877
(Missing)	3267

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	110316	75.8%
True	31877	21.9%
(Missing)	3267	2.2%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Date	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
0	2008-12-01	Albury	13.4	22.9	0.6	NaN	NaN	W	44.0	W	WNW	20.0	24.0	71.0	22.0	1007.7	1007.1	8.0	NaN	16.9	21.8	No	No
1	2008-12-02	Albury	7.4	25.1	0.0	NaN	NaN	WNW	44.0	NNW	WSW	4.0	22.0	44.0	25.0	1010.6	1007.8	NaN	NaN	17.2	24.3	No	No
2	2008-12-03	Albury	12.9	25.7	0.0	NaN	NaN	WSW	46.0	W	WSW	19.0	26.0	38.0	30.0	1007.6	1008.7	NaN	2.0	21.0	23.2	No	No
3	2008-12-04	Albury	9.2	28.0	0.0	NaN	NaN	NE	24.0	SE	E	11.0	9.0	45.0	16.0	1017.6	1012.8	NaN	NaN	18.1	26.5	No	No
4	2008-12-05	Albury	17.5	32.3	1.0	NaN	NaN	W	41.0	ENE	NW	7.0	20.0	82.0	33.0	1010.8	1006.0	7.0	8.0	17.8	29.7	No	No
5	2008-12-06	Albury	14.6	29.7	0.2	NaN	NaN	WNW	56.0	W	W	19.0	24.0	55.0	23.0	1009.2	1005.4	NaN	NaN	20.6	28.9	No	No
6	2008-12-07	Albury	14.3	25.0	0.0	NaN	NaN	W	50.0	SW	W	20.0	24.0	49.0	19.0	1009.6	1008.2	1.0	NaN	18.1	24.6	No	No
7	2008-12-08	Albury	7.7	26.7	0.0	NaN	NaN	W	35.0	SSE	W	6.0	17.0	48.0	19.0	1013.4	1010.1	NaN	NaN	16.3	25.5	No	No
8	2008-12-09	Albury	9.7	31.9	0.0	NaN	NaN	NNW	80.0	SE	NW	7.0	28.0	42.0	9.0	1008.9	1003.6	NaN	NaN	18.3	30.2	No	Yes
9	2008-12-10	Albury	13.1	30.1	1.4	NaN	NaN	W	28.0	S	SSE	15.0	11.0	58.0	27.0	1007.0	1005.7	NaN	NaN	20.1	28.2	Yes	No

	Date	Location	MinTemp	MaxTemp	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow
145450	2017-06-16	Uluru	5.2	24.3	NaN	NaN	E	24.0	SE	E	11.0	11.0	53.0	24.0	1023.8	1020.0	NaN	NaN	12.3	23.3	No	No
145451	2017-06-17	Uluru	6.4	23.4	NaN	NaN	ESE	31.0	S	ESE	15.0	17.0	53.0	25.0	1025.8	1023.0	NaN	NaN	11.2	23.1	No	No
145452	2017-06-18	Uluru	8.0	20.7	NaN	NaN	ESE	41.0	SE	E	19.0	26.0	56.0	32.0	1028.1	1024.3	NaN	7.0	11.6	20.0	No	No
145453	2017-06-19	Uluru	7.4	20.6	NaN	NaN	E	35.0	ESE	E	15.0	17.0	63.0	33.0	1027.2	1023.3	NaN	NaN	11.0	20.3	No	No
145454	2017-06-20	Uluru	3.5	21.8	NaN	NaN	E	31.0	ESE	E	15.0	13.0	59.0	27.0	1024.7	1021.2	NaN	NaN	9.4	20.9	No	No
145455	2017-06-21	Uluru	2.8	23.4	NaN	NaN	E	31.0	SE	ENE	13.0	11.0	51.0	24.0	1024.6	1020.3	NaN	NaN	10.1	22.4	No	No
145456	2017-06-22	Uluru	3.6	25.3	NaN	NaN	NNW	22.0	SE	N	13.0	9.0	56.0	21.0	1023.5	1019.1	NaN	NaN	10.9	24.5	No	No
145457	2017-06-23	Uluru	5.4	26.9	NaN	NaN	N	37.0	SE	WNW	9.0	9.0	53.0	24.0	1021.0	1016.8	NaN	NaN	12.5	26.1	No	No
145458	2017-06-24	Uluru	7.8	27.0	NaN	NaN	SE	28.0	SSE	N	13.0	7.0	51.0	24.0	1019.4	1016.5	3.0	2.0	15.1	26.0	No	No
145459	2017-06-25	Uluru	14.9	NaN	NaN	NaN	NaN	NaN	ESE	ESE	17.0	17.0	62.0	36.0	1020.2	1017.9	8.0	8.0	15.0	20.9	No	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample